Estimating peak water demand: Literature review of current standing and research challenges

Since the 1940s, the models used to estimate peak water demand has been based largely upon variations and refinements of the probabilistic ‘fixture unit’ model. An approach originally advanced by Hunter (1940) in the United States of America (USA). Seeking an improved approach to the 'fixture u...

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Main Authors: Ian Hobbs, Martin Anda, Parisa A. Bahri
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Results in Engineering
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123019300556
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spelling doaj-17d3c8b377074aeb9c65f691f84e0a5b2020-11-25T01:15:09ZengElsevierResults in Engineering2590-12302019-12-014Estimating peak water demand: Literature review of current standing and research challengesIan Hobbs0Martin Anda1Parisa A. Bahri2Corresponding author.; School of Engineering and Energy, Murdoch University, 90 South Street Murdoch, WA, 6150, AustraliaSchool of Engineering and Energy, Murdoch University, 90 South Street Murdoch, WA, 6150, AustraliaSchool of Engineering and Energy, Murdoch University, 90 South Street Murdoch, WA, 6150, AustraliaSince the 1940s, the models used to estimate peak water demand has been based largely upon variations and refinements of the probabilistic ‘fixture unit’ model. An approach originally advanced by Hunter (1940) in the United States of America (USA). Seeking an improved approach to the 'fixture unit' model, now widely recognised as outdated, is the key driving force behind the current work. Boosted by the development of computing power, the plumbing industry, researchers, and academics have, over the last decade, developed computational models as a means of estimating peak water demand. This paper builds on computational models embracing the estimation of peak water demand. A brief outline of the fixture unit and its limitations is provided with key developments in computational modeling comprising current developments from the USA and UK. A brief outline of computational models is presented: Modified Wistort Method (MWM); the Exhaustive Enumeration Method (EEM), and the Water Demand Calculator (WDC). Also presented, from the UK, is the Loading Unit Normalisation Assessment method (LUNA) aimed at an improved model to size domestic hot and cold-water systems. The analysis of the computational models suggests the WDC model is conceivably the most compatible with that of the plumbing industry's design requirements. Suggesting this model could easily be adapted to meet the requirements across international borders. Challenges for the international acceptance of the WDC are the field study requirements to determine p (probability of use) and q (fixture flow rate) values for all types of buildings. Keywords: Fixture unit, Peak water demand, Modified wistort method, Exhaustive enumeration method, Water demand calculator, Loading unit normalisation methodhttp://www.sciencedirect.com/science/article/pii/S2590123019300556
collection DOAJ
language English
format Article
sources DOAJ
author Ian Hobbs
Martin Anda
Parisa A. Bahri
spellingShingle Ian Hobbs
Martin Anda
Parisa A. Bahri
Estimating peak water demand: Literature review of current standing and research challenges
Results in Engineering
author_facet Ian Hobbs
Martin Anda
Parisa A. Bahri
author_sort Ian Hobbs
title Estimating peak water demand: Literature review of current standing and research challenges
title_short Estimating peak water demand: Literature review of current standing and research challenges
title_full Estimating peak water demand: Literature review of current standing and research challenges
title_fullStr Estimating peak water demand: Literature review of current standing and research challenges
title_full_unstemmed Estimating peak water demand: Literature review of current standing and research challenges
title_sort estimating peak water demand: literature review of current standing and research challenges
publisher Elsevier
series Results in Engineering
issn 2590-1230
publishDate 2019-12-01
description Since the 1940s, the models used to estimate peak water demand has been based largely upon variations and refinements of the probabilistic ‘fixture unit’ model. An approach originally advanced by Hunter (1940) in the United States of America (USA). Seeking an improved approach to the 'fixture unit' model, now widely recognised as outdated, is the key driving force behind the current work. Boosted by the development of computing power, the plumbing industry, researchers, and academics have, over the last decade, developed computational models as a means of estimating peak water demand. This paper builds on computational models embracing the estimation of peak water demand. A brief outline of the fixture unit and its limitations is provided with key developments in computational modeling comprising current developments from the USA and UK. A brief outline of computational models is presented: Modified Wistort Method (MWM); the Exhaustive Enumeration Method (EEM), and the Water Demand Calculator (WDC). Also presented, from the UK, is the Loading Unit Normalisation Assessment method (LUNA) aimed at an improved model to size domestic hot and cold-water systems. The analysis of the computational models suggests the WDC model is conceivably the most compatible with that of the plumbing industry's design requirements. Suggesting this model could easily be adapted to meet the requirements across international borders. Challenges for the international acceptance of the WDC are the field study requirements to determine p (probability of use) and q (fixture flow rate) values for all types of buildings. Keywords: Fixture unit, Peak water demand, Modified wistort method, Exhaustive enumeration method, Water demand calculator, Loading unit normalisation method
url http://www.sciencedirect.com/science/article/pii/S2590123019300556
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